최신 DP-300 Korean 무료덤프 - Microsoft Administering Relational Databases on Microsoft Azure (DP-300 Korean Version)

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See the explanation part for the complete Solution.
Explanation:
To enable page compression on the PK_SalesOrderHeader_SalesOrderlD clustered index of the SalesLT.
SalesOrderHeader table in db1, you can use the following Transact-SQL script:
-- Connect to the Azure SQL database named db1
USE db1;
GO
-- Enable page compression on the clustered index
ALTER INDEX PK_SalesOrderHeader_SalesOrderlD ON SalesLT.SalesOrderHeader REBUILD WITH (DATA_COMPRESSION = PAGE); GO This script will rebuild the clustered index with page compression, which can reduce the storage space and improve the query performance The script solution consists of three parts:
* The first part is USE db1; GO. This part connects to the Azure SQL database named db1, where the SalesLT.SalesOrderHeader table is located. The GO command separates the batches of Transact-SQL statements and sends them to the server.
* The second part is ALTER INDEX PK_SalesOrderHeader_SalesOrderlD ON SalesLT.
SalesOrderHeader REBUILD WITH (DATA_COMPRESSION = PAGE); GO. This part enables page compression on the clustered index named PK_SalesOrderHeader_SalesOrderlD, which is defined on the SalesLT.SalesOrderHeader table. The ALTER INDEX statement modifies the properties of an existing index. The REBUILD option rebuilds the index from scratch, which is required to change the compression setting. The DATA_COMPRESSION = PAGE option specifies that page compression is applied to the index, which means that both row and prefix compression are used. Page compression can reduce the storage space and improve the query performance by compressing the data at the page level. The GO command ends the batch of statements.
* The third part is optional, but it can be useful to verify the compression status of the index. It is SELECT name, index_id, data_compression_desc FROM sys.indexes WHERE object_id = OBJECT_ID('SalesLT.SalesOrderHeader');. This part queries the sys.indexes catalog view, which contains information about the indexes in the database. The SELECT statement returns the name, index_id, and data_compression_desc columns for the indexes that belong to the SalesLT.
SalesOrderHeader table. The OBJECT_ID function returns the object identification number for the table name. The data_compression_desc column shows the compression type of the index, which should be PAGE for the clustered index after the script is executed.
These are the steps of the script solution for enabling page compression on the clustered index of the SalesLT.
SalesOrderHeader table in db1.

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Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/resource-governor/resource-governor?view=sql- server-ver15
https://docs.microsoft.com/en-us/sql/relational-databases/resource-governor/create-and-test-a-classifier-user- defined-function?view=sql-server-ver15

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Explanation:

Explanation:

Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/execute-as-transact-sql?view=sql-server-ver15
https://docs.microsoft.com/en-us/sql/t-sql/functions/suser-sname-transact-sql?view=sql-server-ver15

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Explanation:

Box 1: Store the infrastructure logs in the Cool access tier the application logs in the Archive access tier Hot - Optimized for storing data that is accessed frequently.
Cool - Optimized for storing data that is infrequently accessed and stored for at least 30 days.
Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
Box 2: Azure Blob storage lifecycle management rules
Blob storage lifecycle management offers a rich, rule-based policy that you can use to transition your data to the best access tier and to expire data at the end of its lifecycle.
Reference:
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blob-storage-tiers

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